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    Home / Central Data Catalog / IND_2023_HCES_V01_M / variable [F9]
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Household Consumption Expenditure Survey 2023-2024

India, 2023 - 2024
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Reference ID
IND_2023_HCES_v01_M
Producer(s)
National Statistics Office of India
Metadata
DDI/XML JSON
Created on
Jun 10, 2025
Last modified
Jun 10, 2025
Page views
887
Downloads
9
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • LEVEL_01_Section_1_1-1.sav
  • LEVEL_02_Section_3.sav
  • LEVEL_03.sav
  • LEVEL_04_Section_4-1.sav
  • LEVEL_05_Sec_5_6.sav
  • LEVEL_06_Section_7.sav
  • LEVEL_07_Section_4-2.sav
  • LEVEL_08_Section_8-1.sav
  • LEVEL_09_Section_9_10_11.sav
  • LEVEL_10_Section_12.sav
  • LEVEL_11_Section_4-3.sav
  • LEVEL_12_Section_13.sav
  • LEVEL_13_Section_14.sav
  • LEVEL_14_Section_A1_B1_C1.sav
  • LEVEL_15_Section_1-1_A2_B2_C2.sav

State (State)

Data file: LEVEL_09_Section_9_10_11.sav

Overview

Valid: 8259120
Invalid: 0
Type: Discrete
Decimal: 0
Start: 15
End: 16
Width: 2
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Jammu & Kashmir 105833
1.3%
2 Himachal Pradesh 74878
0.9%
3 Punjab 194333
2.4%
4 Chandigarh(U.T.) 24083
0.3%
5 Uttrakhand 86568
1%
6 Haryana 179382
2.2%
7 Delhi 123475
1.5%
8 Rajasthan 384054
4.7%
9 Uttar Prdesh 1013424
12.3%
10 Bihar 542787
6.6%
11 Sikkim 69104
0.8%
12 Arunachal Pradesh 133315
1.6%
13 Nagaland 88686
1.1%
14 Manipur 129942
1.6%
15 Mizoram 104817
1.3%
16 Tripura 169983
2.1%
17 Meghalaya 90369
1.1%
18 Assam 247049
3%
19 West Bengal 538543
6.5%
20 Jharkhand 185466
2.2%
21 Odisha 252817
3.1%
22 Chattisgarh 133625
1.6%
23 Madhya Pradesh 457895
5.5%
24 Gujarat 354092
4.3%
25 Dadra & Nagar Haveli and Daman & Diu 19791
0.2%
27 Maharashtra 746859
9%
28 Andhra Pradesh 315311
3.8%
29 Karnataka 422617
5.1%
30 Goa 27047
0.3%
31 Lakshadweep (U.T.) 16985
0.2%
32 Kerala 227728
2.8%
33 Tamilnadu 475233
5.8%
34 Puducherry (U.T.) 44089
0.5%
35 A and N Islands (U.T.) 31681
0.4%
36 Telangana 226512
2.7%
37 Ladakh (U.T.) 20747
0.3%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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